中国县域电子商务发展的空间特征及影响因素研究*

Research on the Spatial Characteristics and Influence Factors of County E-Commerce Development in China

徐 杰
南京大学建筑与城市规划学院 硕士研究生

周洋岑
南京大学建筑与城市规划学院 硕士研究生

何鹤鸣
南京大学建筑与城市规划学院 博士研究生 南京大学城市规划设计研究院战略研究室 副主任

罗震东
南京大学建筑与城市规划学院 副教授 南京大学区域规划研究中心 副主任 中国城市规划学会乡村规划与建设学术委员会委员 阿里新乡村研究中心 客座研究员

摘要: 通过挖掘阿里研究院的电子商务数据和县域经济数据,构建空间计量分析模型,从网络消费水平和网络销售水平两个方面,对中国县域电子商务发展的空间特征与影响因素进行研究。发现中国县域网络消费水平和网络销售水平呈现差异的空间分布特征和较强的空间依赖性。县域网络消费水平与县域经济发展水平、居民收入情况、信息化水平正相关;县域网络销售水平与县域劳动密集型产业发育情况、县域金融服务能力和信息化水平正相关,与产值规模较高的规模以上企业发展状况负相关。

Abstract: Mining the data of e-commerce and county economy from Ali research, this essay has built a spatial econometric analysis model by which the spatial characteristics and influence factors of county e-commerce in China are studied from two perspectives of online sales level and online shopping level. It is found that the county online shopping level and online sales level in China both show different spatial distribution characteristics and a strong spatial reliance. The county online shopping level has a positive correlation with the county economic development level, residents’ income and the informatization level; the county online sales level has a positive correlation with the local development level of the labor intensive industry, financial service level and informatization level; while having a negative correlation with the development level of enterprises above designated size.

关键词:电子商务、 县域、空间自相关、空间回归

Keyword: E-commerce, County, Spatial autocorrelation, Spatial regression

中图分类号:TU981

文献标识码: A

资金资助

国家自然科学基金 “基于流空间的城镇发展战略分析方法与规划理论研究” 51478216

[1]聂林海.“互联网+”时代的电子商务[J]. 中国流通经济,2015(6):53-57.
NIE Linhai. E-commerce in the time of Internet Plus[J]. China Business and Market, 2015(6):53-57.
[2]盛振中,陈亮,张瑞东. 2013年中国县域电子商务发展指数报告[R]. 阿里研究院,2014.
SHENG Zhenzhong, CHEN Liang, ZHANG Ruidong. Report on China's E-commerce development Index of 2013[R]. Ali Research, 2014.
[3]罗震东. 淘宝村为中国城镇化的“下半程”提供了新的可能[EB/OL].(2016-12-06)[2017-2-22].http://www.aliresearch.com/blog/article/detail/id/21175.html.
LUO Zhendong. Taobao Village offers new possibilities for the second half of urbanization in China[EB/OL]. (2016-12-06)[2017-2-22]http://www.aliresearch.com/blog/article/detail/id/21175.html.
[4]崔桓,王楠,李全喜. 电子商务助推我国城镇化发展的路径探析[J]. 经济视角,2014(7):3-6.
CUI Huan, WANG Nan, LI Quanxi. An analysis of the path of electronic commerce to drive the development of urbanization in China[J]. Economic Vision, 2014(7):3-6.
[5]葛殊. 电子商务助推城镇化进程:基于农村消费能力提升的视角[J]. 特区经济,2013(8):112-113.
GE Shu. E-commerce to boost the process of urbanization: based on the perspective of rural consumption[J]. Special Zone Economy, 2013(8): 112-113.
[6]虞昌亮. 就地城镇化过程中农村电子商务发展研究[J]. 金融理论与教学,2014(1):65-70.
YU Changliang. Research on the development of rural E-commerce in the process of urbanization[J]. Journal of Harbin Finance University, 2014(1): 65-70.
[7]许婵,吕斌,文天祚. 基于电子商务的县域就地城镇化与农村发展新模式研究[J]. 国际城市规划,2015,30(1):14-21.
XU Chan, LV Bin, WEN Tianzuo. New patterns of county in-situ urbanization and rural development based on E-commerce[J]. Urban Planning International, 2015, 30(1): 14-21.
[8]钱俭,郑志锋. 基于“淘宝产业链”形成的电子商务集聚区研究——以义乌市青岩刘村为例[J]. 城市规划,2013(11):79-83.
QIAN Jian,ZHENG Zhifeng. E-commerce clusters based on Taobao Industrial Chain: a case study on Qingyanliu village in Yiwu city[J]. City Planning Review, 2013(11): 79-83.
[9]凌守兴. 我国农村电子商务产业集群形成及演进机理研究[J]. 商业研究,2015(1):104-109.
LING Shouxing. Research on forming and evolving mechanism of E-commerce industrial cluster in China's rural area[J]. Commercial Research, 2013(11): 79-83.
[10]张作为. 淘宝村电子商务产业集群竞争力研究[J]. 宁波大学学报:人文科学版,2015(3):96-101.
ZHANG Zuowei. The competitiveness of E-commerce industrial cluster of Taobao Villages[J].Journal of Ningbo University (Liberal Arts Edition), 2015(3): 96-101.
[11]徐申萌. 我国C2C电子商务地理格局研究[D]. 大连:大连理工大学硕士学位论文,2013.
XU Shenmeng. Research on geographic pattern of China’s C2C E-commerce[D]. Dalian: The Dissertation for Master Degree of Dalian University of Technology, 2013.
[12]王贤文,徐申萌. 我国C2C电子商务的地理格局及其演化机制[J]. 经济地理,2011(7):1064-1069.
WANG Xianwen, XU Shenmeng. Spatial autocorrelation analysis of C2C E-business in China[J]. Economic Geography, 2011, 31(7): 1064-1069.
[13]钟海东,张少中,华灵玲,等. 中国C2C电子商务卖家空间分布模式[J]. 经济地理,2014(4):91-96.
ZHONG Haidong, ZHANG Shaozhong, HUA Lingling, et al. Spatial pattern of C2C E-commerce online shops in China[J]. Economic Geography, 2014(4): 91-96.
[14]汤英汉. 中国电子商务发展水平及空间分异[J]. 经济地理, 2015,35(5):9-14.
TANG Yinghan. A spatial difference study on China's E-Commerce development level[J]. Economic Geography, 2015,25(5):9-14.
[15]浩飞龙,关皓明,王士君. 中国城市电子商务发展水平空间分布特征及影响因素[J]. 经济地理,2016(2):1-10.
HAO Feilong, GUAN Haoming, WANG Shijun. Study on the influencing factors and spatial distribution of electronic commerce development level in China’s cities[J]. Economic Geography, 2016, 36(2): 1-10.
[16]俞金国,王丽华,连显淼. 电子商铺空间分布规律及其影响因素探究——来自淘宝网的实证[J]. 地域研究与开发,2010(6):34-39.
YU Jinguo, WANG Lihua, LIAN Xianmiao. E-shops spatial distribution law and its influencing factors: a case study of Taobao net[J]. Areal Research and Development, 2010, 29(6): 34-39.
[17]罗谷松,李雪琪. 广东省淘宝网电子商铺空间分布特征研究[J]. 商业研究,2013(7):117-121.
LUO Gusong, LI Xueqi. Research on spatial distribution features of Taobao E-commerce shops in Guangdong province[J]. Commercial Research, 2013(7): 117-121.
[18]王引弟,赵荣,任艳. 淘宝网特产电子商铺实证分布研究[J]. 现代经济信息,2013(9):241-242.
WANG Yindi, ZHAO Rong, REN Yan. Empirical study on the distribution of Taobao specialty electronic shops[J]. Modern Economic Information, 2013(9): 241-242.
[19]周扬,李宁,吴文祥,等. 1982—2010年中国县域经济发展时空格局演变[J]. 地理科学进展,2014(1):102-113.
ZHOU Yang, LI Ning, WU Wenxiang, et al. Evolution of spatial-temporal pattern of county economic development in China during 1982-2010[J]. Progress in Geography, 2014(1): 102-113.
[20]CLIFF A D, ORD J K. Spatial autocorrelation[M]. Pion London, 1973.
[21]CLIFF A D, ORD K. Spatial autocorrelation: a review of existing and new measures with applications[J]. Economic Geography, 1970(46): 269-292.
[22]ANSELIN L. Local indicators of spatial association-LISA[J]. Geographical Analysis, 1995, 27(2): 93-115.
[23]BALLER R D, ANSELIN L, MESSNER S F, et al. Structural covariates of us county homicide rates: incorporating spatial effects[J]. Criminology, 2001, 39(3): 561-588.
[24]Fotheringham A S, Brunsdon C, Charlton M. Quantitative geography: perspectives on spatial data analysis[M]. Sage, 2000.
[25]陈培阳,朱喜钢. 福建省区域经济差异演化及其动力机制的空间分析[J]. 经济地理,2011(8):1252-1257.
CHEN Peiyang, ZHU Xigang. Spatial analysis on Fujian’s regional inequalities and mechanisms[J]. Economic Geography, 2011(8): 1252-1257.
[26]ANSELIN L, REY S. Properties of tests for spatial dependence in linear regression models[J]. Geographical Analysis, 1991, 23(2): 112-131.

微信扫一扫
关注“上海城市规划”
公众号